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Record W2999536193 · doi:10.1039/c9ta13293g

A 16.4% efficiency organic photovoltaic cell enabled using two donor polymers with their side-chains oriented differently by a ternary strategy

2020· article· en· W2999536193 on OpenAlexaff
Tsz‐Ki Lau, Philip C. Y. Chow, Ningning Wu, Dan Su, Weichao Zhang, Huifeng Meng, Chao Ma, Tao Liu, Kun Li, Xinhui Zou, Kam Sing Wong, Xinhui Lu, He Yan, Chuanlang Zhan

Bibliographic record

VenueJournal of Materials Chemistry A · 2020
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsGovernment of Northwest Territories
FundersResearch Grants Council, University Grants CommitteeNational Natural Science Foundation of China
KeywordsTernary operationPolymerPhotovoltaic systemMaterials scienceSide chainOrganic solar cellAbsorption (acoustics)Chemical engineeringAbsorption spectroscopyTernary numeral systemPolymer chemistryOpticsComposite materialComputer sciencePhysicsElectrical engineering

Abstract

fetched live from OpenAlex

A ternary material system featuring two donor polymers with identical absorption spectra and differently-oriented side-chains was used in an organic photovoltaic (OPV) cell. It is the first ternary blended OPV cell with two donor polymers with >16% efficiency.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.188
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2020
Admission routes1
Has abstractyes

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